Third generation biosensors based on the interaction among reduced graphene oxide,...
| Grant number: | 12/22755-0 |
| Support type: | Scholarships in Brazil - Scientific Initiation |
| Effective date (Start): | January 01, 2013 |
| Effective date (End): | December 31, 2014 |
| Field of knowledge: | Physical Sciences and Mathematics - Chemistry |
| Principal Investigator: | Susana Inés Córdoba de Torresi |
| Grantee: | Rafael Neri Prystaj Colombo |
| Home Institution: | Instituto de Química (IQ). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Associated research grant: | 09/53199-3 - Molecular recognition and energy storage: fundamental studies concerning geometry, size and synthesis effects on the optimization of the chemical properties of electroactive materials, AP.TEM |
Abstract Biosensors constitute an intrinsic element in daily life and present a promissory future, being a central facet in its use for the most different functions, from clinical laboratory diagnosis to in vivo monitoring systems. With the nano-science development, an increasing attention relying on the carbon nanotubes (CNT) usage was verified for bio-recognition of several compounds. Recently, the ascension of the research based on reduced graphene oxide (RGO) depicts it as an excellent intermediate electrode-substrate material, with satisfactory electrochemical responses forthcoming mainly both from its electron availability for conduction on delocalized pi bonds and from the presence of functional groups in the structure of the oxide.The present project offers a pursuit on the optimization of the electrochemical biosensors based on the direct electronic interaction between sp2 hybridized carbon layers and biomolecules, probing the relation between immobilized RGO and biologic material, so that a small quantity of RGO does not suitably recover electrode's surface, whereas an excess of RGO adhered may promote multi-layering, thus reducing electrochemical performance of the carbon nanomaterial. Therefore, the improvement of the sensor do comprehend several steps and is expected to produce a set of parameters for a better process resourcefulness, such as the number of immobilized carbon monolayers, optimization on reduction method and biomolecule adsorption, factors that are commonly used arbitrarily on researches from this segment. | |